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About the Role
Prime Intellect is building the open superintelligence stack, providing infrastructure for ambitious AI teams. Our platform unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment for post-training at frontier scale. We are developing open frontier AI, including open-source models and the full-stack platform used for their creation. The role focuses on applying agentic reinforcement learning to chip design, building agents, environments, evaluations, and post-training systems for semiconductor design and verification workflows.
Responsibilities
- Turn workflows into tasks, environments, evaluations, and reward signals.
- Run post-training experiments against real baselines and deploy successful solutions.
- Analyze results to determine the source of gains (model vs. data, harness, inference, infrastructure).
- Develop reusable components for shared research, open-source systems, and product capabilities.
- Work directly with customers, users, or research partners while maintaining a research agenda.
- Build an interactive verification environment for agents to read specifications, write/repair RTL, invoke tools, interpret failures, and iterate.
- Design rewards and evaluations balancing functional correctness with tool efficiency, robustness, and performance/power/area constraints.
- Train long-horizon agents for design and tool failure recovery, state preservation, and generalization.
- Develop interactive environments for agents to use EDA tools, modify designs, debug failures, and plan multi-step work.
- Create verifiers and rewards grounded in tests, simulation, formal methods, design rules, and engineering outcomes.
- Conduct experiments on credit assignment with late feedback and multiple tool contributions.
- Develop evaluations for correctness, recovery, and generalization with reusable methods for other simulator-grounded engineering domains.
Requirements
- Depth in RL, agents, or post-training systems.
- Ability to become fluent in semiconductor workflows.
- Hands-on experience building and debugging model-training, post-training, agent, evaluation, or closely adjacent experimental loops.
- Strong experimental judgment, including meaningful baselines, careful trace inspection, clear failure attribution, and adaptability to evidence.
- Strong Python skills.
- Ability to build artifacts that other researchers and engineers can run, inspect, and extend.
- Comfort owning ambiguous problems and keeping partners and teammates informed.
- Evidence of exceptional work (publications, open-source systems, benchmarks, shipped products).
- Demonstrate building something difficult, what failed, and how evidence changed the approach.
Skills
- Reinforcement Learning (RL)
- Agent-based systems
- Post-training systems
- Python
- Chip design
- Semiconductor design and verification
- RTL generation and debugging
- Formal verification
- Simulation
- Physical design
- Optimization
- EDA tools
- Design automation
- Compilers
- ML for systems
Location
- San Francisco
- New York
- London
- Remote
Work Type
- Full-time
- Remote
Experience Level
- Applied Research
Salary/Compensations
- $150-300k
Benefits
- Equity incentives
- Flexible Work
- Visa Sponsorship & relocation support
- Professional Development budget
- Team Off-sites & conference attendance
About the Company
- Prime Intellect is building the open superintelligence stack: the infrastructure frontier AI labs build internally, made available to every ambitious AI team.
- Our platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment into one full-stack system for post-training at frontier scale.
- We are building open frontier AI: open-source models trained end to end for long-horizon tasks like autonomous research, and the full-stack platform our own research team uses to build them.
- The next generation of AI companies, enterprises, and research teams need the ability to turn their own workflows, tools, data, and feedback loops into superintelligence they own.
- Prime Intellect has raised $150M in total funding from Founders Fund, Radical Ventures, NVIDIA, and exceptional AI, infrastructure, and enterprise operators.
- We are looking for people who want to build at the intersection of frontier research, real infrastructure, and go-to-market for a category that does not fully exist yet.